Evidence map›Paper›PMID 42056759›Full record

ReviewThe Journal of clinical endocrinology and metabolism2026

Acromegaly diagnosis.

Divya Yogi-Morren, Philippe Chanson

Abstract readReview
In one paragraph

Review in The Journal of clinical endocrinology and metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Divya Yogi-MorrenDepartment of Endocrinology, Diabetes & Metabolism, Medical Specialty Institute, Cleveland Clinic, Cleveland, OH 44195, USA.
Philippe ChansonUniversité Paris-Saclay, Inserm, Physiologie et Physiopathologie Endocriniennes, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Service d'Endocrinologie et des Maladies de la Reproduction, Centre de Référence des Maladies Rares de l'Hypophyse, Le Kremlin-Bicêtre 94275, France.ORCID 0000-0001-5096-5722

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical presentation of acromegaly reflects systemic effects of chronic growth hormone (GH) and insulin-like growth factor 1 (IGF-I) excess. Diagnostic delay frequently ranges from 6 to 10 years. While classical manifestations such as acral enlargement and facial coarsening are diagnostically important, many patients initially develop nonspecific symptoms, including sleep apnea, carpal tunnel syndrome, arthralgia, and metabolic disturbances. The lack of symptom/comorbidity specificity highlights the need for improved screening strategies, particularly for patients without overt acral changes. Comorbidity cluster analyses, potentially supported by artificial intelligence, may facilitate earlier identification, prompting biochemical confirmation of the diagnosis. Biochemical evaluation has benefited from advances in hormone assay harmonization and the establishment of robust age-adjusted reference ranges. Serum IGF-I is the preferred initial screening test due to its stability and reflection of integrated GH secretion. However, interpretation of assay values should consider age, sex, assay variability, and confounding conditions such as diabetes, liver or renal disease, obesity, pregnancy, and estrogen exposure. For discordant biochemical and clinical findings, it is recommended to repeat IGF-I and to measure GH during an oral glucose tolerance test (OGTT). Although random GH levels are often elevated and correlate with somatotroph adenoma size, GH suppression during OGTT is the gold-standard confirmatory test, especially in patients with borderline results. The use of ultrasensitive GH assays has lowered the recommended nadir GH cut-off threshold to ∼0.4 µg/L, with assay-specific considerations. Advances in high-resolution MRI and PET/MRI, alongside AI-driven facial recognition, electronic medical record analysis, and radiomics, offer promising avenues for earlier and more accurate diagnosis of acromegaly.

Indexed as

AcromegalyDiagnostic Techniques, EndocrineFemaleHuman Growth HormoneHumansInsulin-Like Growth Factor IHuman Growth HormoneInsulin-Like Growth Factor Iacromegalyartificial intelligencecomorbidity clustersdiagnosisgrowth hormoneinsulin-Like growth factor 1

Identifiers

PMID42056759
PMCPMC13235963

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.